Author

A. Wassal

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Preprint Jul 2026

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries

A systematic empirical study of fine-tuning effectiveness and metric validity for Dart Ahead-of-Time (AOT) neural decompilation using a new 154-task HumanEval-Dart benchmark, and empirical evidence that pass@k must be the primary evaluation metric for neural decompilation is presented.

Raafat Abualazm, Ayman Aboelhassan, A. Wassal · 0 citations